A data structure embodied on a computer-readable medium is disclosed. The data structure may include a database schema for arrange a competition among associated users in a structured query language (SQL) database. The database schema may include a grouping schema and a competition schema. The grouping schema may identify one or more associated contestants. The grouping schema may receive one or more inputs from a host contestant to identify and associate the one or more associated contestants. The competition schema may include a plurality of contests. Each contest may have relational data tables configured to receive selections of songs, albums, and/or artists from the contestants, and reward points based on those selections. The points may be rewarded to each contestant based on their corresponding selections. The sum of the points for each contestant may be accumulated to determine a score. The point may be rewarded based on one or more activity tracking parameters. The database schema may also employ an application. The application may provide access to the plurality of selections and scores in the SQL database. The application may also manage the contestants, the plurality of selections, the one or more activity tracking parameter and the scores for each of the contestant.

In implementations of searching for music, a music search system can receive a music search request that includes a music file including music content. The music search system can also receive a selected musical attribute from a plurality of musical attributes. The music search system includes a music search application that can generate musical features of the music content, where a respective one or more of the musical features correspond to a respective one of the musical attributes. The music search application can then compare the musical features that correspond to the selected musical attribute to audio features of audio files, and determine similar audio files to the music file based on the comparison of the musical features to the audio features of the audio files.

According to an embodiment, there is provided a system and method for automatic AI-based song construction based on ideas of a user. It provides and benefits from a combination of expert knowledge resident in an expert engine which contains rules for a musically correct song generation and machine learning in an AI-based audio loop selection engine for the selection of fitting audio loops from a database of audio loops.

According to an embodiment, there is provided a system and method for automatic AI-based song construction based on ideas of a user. It provides and benefits from a combination of expert knowledge resident in an expert engine which contains rules for a musically correct song generation and machine learning in an AI-based audio loop selection engine for the selection of fitting audio loops from a database of audio loops.

Techniques of content unification are disclosed. In some example embodiments, a computer-implemented method comprises: determining clusters based a comparison of a plurality of audio content using a first matching criteria, each cluster of the plurality of clusters comprising at least two audio content from the plurality of audio content; for each cluster of the plurality of clusters, determining a representative audio content for the cluster from the at least two audio content of the cluster; loading the corresponding representative audio content of each cluster into an index; matching the query audio content to one of the representative audio contents using a first matching criteria; determining the corresponding cluster of the matched representative audio content; and identifying a match between the query audio content and at least one of the audio content of the cluster of the matched representative audio content based on a comparison using a second matching criteria.

Techniques of content unification are disclosed. In some example embodiments, a computer-implemented method comprises: determining clusters based a comparison of a plurality of audio content using a first matching criteria, each cluster of the plurality of clusters comprising at least two audio content from the plurality of audio content; for each cluster of the plurality of clusters, determining a representative audio content for the cluster from the at least two audio content of the cluster; loading the corresponding representative audio content of each cluster into an index; matching the query audio content to one of the representative audio contents using a first matching criteria; determining the corresponding cluster of the matched representative audio content; and identifying a match between the query audio content and at least one of the audio content of the cluster of the matched representative audio content based on a comparison using a second matching criteria.

Systems and methods are provided for filtering at least one media content catalog based on criteria for a station library to generate a first list of candidate tracks for the station library, combining a similarity score and a popularity score for each track of the first list of candidate tracks to generate a total score for each track of the first list of candidate tracks, generating a list of top ranked tracks for the first genre, and returning the list of top ranked tracks of the first genre as part of the station library.

Systems and methods are provided for filtering at least one media content catalog based on criteria for a station library to generate a first list of candidate tracks for the station library, combining a similarity score and a popularity score for each track of the first list of candidate tracks to generate a total score for each track of the first list of candidate tracks, generating a list of top ranked tracks for the first genre, and returning the list of top ranked tracks of the first genre as part of the station library.

Methods and systems are provided for encoding audio data from an audio file, wherein the audio data comprises audio samples. Audio data is segmented from the audio file in order to obtain at least one segment. Each segment comprises a time interval of the audio data, and each segment also comprises a plurality of audio samples grouped in frames. A segment index and a description stream containing the segment index is then generated. The segment index comprises the position of the segments within the audio file. A segment stream containing the audio data of one particular segment is then generated. At least part of the audio data is encrypted during the generation of the segment stream with an encryption key.

Methods and systems are provided for encoding audio data from an audio file, wherein the audio data comprises audio samples. Audio data is segmented from the audio file in order to obtain at least one segment. Each segment comprises a time interval of the audio data, and each segment also comprises a plurality of audio samples grouped in frames. A segment index and a description stream containing the segment index is then generated. The segment index comprises the position of the segments within the audio file. A segment stream containing the audio data of one particular segment is then generated. At least part of the audio data is encrypted during the generation of the segment stream with an encryption key.